Method in a Computer System for Generating a Graphical Representation of an Anticipated Product Manufactured by a Machine

1. A method in a computer system for generating predicted product values of a product manufactured by a machine having a plurality of actuators and a plurality of mechanical elements, the method comprising the steps of: presenting a plurality of machine input fields requesting a plurality of parameters associated with the plurality of actuators and the plurality of mechanical elements; presenting a plurality of product input fields requesting a plurality of desired product properties of the product; receiving one or more parameters from the plurality of machine input fields; receiving one or more desired product properties from the plurality of product input fields; calculating output response data by an emulation model that emulates a mechanical operation of the machine using one or more parameters and the one or more desired product properties; providing at least a portion of the output response data to a product model wherein the product model is a mathematical model configured to calculate one or more predicted product values based at least in part on the output response data provided to the product model; and, presenting the one or more predicted product values.

2. The method of claim 1 wherein the mathematical model is a MathCAD model or a MATLAB model.

3. The method of claim 1 wherein: the machine is a hybrid winder machine and the product is a wound product of a web material; and, the predicted product values comprise a perforation strength value, a winding tension value, a roll compressibility value, an embossed depth value, a roll diameter value, or combinations thereof.

4. The method of claim 1 further comprising the step of presenting a plurality of material input fields, wherein the plurality of material input fields corresponds to a plurality of material properties associated with the product.

5. The method of claim 1 further comprising the step of providing the one or more parameters and the one or more desired product properties to the product model, wherein the one or more predicted product values are based at least in part on the output response data, the one or more parameters, and the one or more desired product properties.

6. The method of claim 1 further comprising the steps of: presenting a plurality of material property input fields, wherein the plurality of material property input fields are associated with a plurality of material properties of the product; and, receiving one or more material properties from the plurality of material input fields, wherein the output response data is based at least in part on the one or more parameters, the one or more desired product properties, and the one or more material properties.

7. The method of claim 6 further comprising the step of providing the one or more parameters, the one or more desired product properties, and the one or more material properties to the product model, wherein the one or more predicted product values are based at least in part on the output response data, the one or more parameters, and the one or more desired product properties.

8. The method of claim 1 further comprising the steps of: presenting a graphical representation of the output response data; and, presenting an animation of at least one predicted machine operation based at least in part on the output response data.

9. A method in a computer system for predicting a process of a machine having a plurality of actuators, a plurality of mechanical elements, and configured to fabricate a product, the method comprising the steps of: presenting a plurality of machine input fields requesting a plurality of parameters associated with the plurality of actuators and the plurality of mechanical elements; presenting a plurality of product input fields requesting a plurality of desired product properties of the product; receiving one or more parameters from the plurality of machine input fields; receiving one or more desired product properties from the plurality of product input fields; calculating, by a computer, output response data by an emulation of a mechanical operation of the machine using one or more parameters and the one or more desired product properties; providing at least a portion of the output response data to a process model wherein the process model is a mathematical model configured to generate one or more process output messages based at least in part on the output response data provided to the process model, wherein the one or more process output messages correspond to a predicted process of the machine; and, presenting the one or more process output messages.

10. The method of claim 9 wherein the mathematical model is a MathCAD model or a MATLAB model.

11. The method of claim 9 wherein the one or more output messages indicate that the one or more parameters, the one or more desired product properties, or combinations thereof, cause a problem with the product.

12. The method of claim 9 wherein the one or more output messages indicate that the one or more parameters, the one or more desired product properties, or combinations thereof, cause a predicted process of the machine to operate outside of a protocol.

13. The method of claim 9 further comprising the step of presenting a plurality of material property input fields, wherein the plurality of material input fields corresponds to a plurality of material properties associated with the product.

14. The method of claim 9 further comprising the step of providing the one or more parameters and the one or more desired product properties to the process model, wherein the one or more output messages are based at least in part on the output response data, the one or more parameters, and the one or more desired product properties.

15. The method of claim 9 further comprising the steps of: presenting a plurality of material property input fields, wherein the plurality of material property input fields are associated with a plurality of material properties of the product; and, receiving one or more material properties from the plurality of material property input fields, wherein the output response data is based at least in part on the one or more parameters, the one or more desired product properties, and the one or more material properties.

16. The method of claim 15 further comprising the step of providing the one or more parameters, the one or more desired product properties, and the one or more material properties to the process model, wherein the one or more output messages are based at least in part on the output response data, the one or more parameters, and the one or more desired product properties.

17. The method of claim 9 further comprising the steps of: presenting a graphical representation of the output response data; and, presenting an animation of at least one predicted machine operation based at least in part on the output response data.